Reinforcement Learning: An Introduction Review

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Pros

Pro

Has good balance between technical and non-technical information

Written to cover both the subject matter and theory.

Pro

Covers 3 essential reinforcement learning approaches

The second part of the book covers Dynamic Programming, Monte Carlo Methods and Temporal Difference Learning learning methods. They're presented in an interesting way and explained through various examples.

Pro

Approachable

Pro

Offers lots of real world examples

Pro

Free

Available online for free.

Cons

Con

Uses vague terms

Supplementary resources that have formalized the terms used in this book might be needed to fully understand everything.